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Applications of decision analysis 9<br />

attributes associated with a project, such as benefits to the service, monetary<br />

costs, workload involved and political pressures, to be assessed and<br />

taken into account. However, the key benefits were seen to emanate from<br />

the process itself. It allowed a problem which had been ‘a fermenting<br />

source of unrest [to be] brought to the surface, openly accepted to be a<br />

problem and shared’. As a result ‘the undercurrent of discontent’ was<br />

replaced by ‘enthusiasm for action’.<br />

Selecting a wide area network (WAN) solution<br />

at EXEL Logistics 12<br />

EXEL Logistics, a division of one of the top 100 British companies which<br />

specializes in distribution solutions, has applied decision analysis to<br />

a number of problems. One problem involved the selection of a wide<br />

area network (WAN) for interconnecting around 150 sites in Britain.<br />

Seven alternative proposals needed to be considered. The decision was<br />

complicated by the need to involve a range of people in the decision process<br />

(e.g. professional information systems staff, depot managers and IT<br />

directors) and by the variety of attributes that applied to the WANs, such<br />

as costs, flexibility, performance, safety and supplier stability. By using<br />

decision conferencing (Chapter 12) together with SMART (Chapter 3)<br />

the team were able to agree a choice and recommend it with confidence<br />

to the company’s board.<br />

Planning under a range of futures in a financial services firm<br />

ATM Ltd (a pseudonym) provides the electromechanical machines that<br />

dispense cash outside many of the banks and building societies in the<br />

UK. Auto-teller machines, as they are called, are ATM’s main products.<br />

However, several of the executives at ATM were concerned that the<br />

use of cash might be in swift decline in the European Union, since<br />

‘smart cards’ – cards similar to debit cards but which store electronic<br />

cash – were being promoted by a competitor in the financial services<br />

sector. The executives did not feel able to predict the year in which cash<br />

transactions would cease to be significant, nor did they feel able to assess<br />

the potential rate of decline. By using scenario planning (Chapter 15),<br />

they felt able to identify critical driving forces which would accelerate or<br />

decelerate the move away from cash. As a result, they felt better placed<br />

to anticipate and cope with an unfavorable future – if such a future did<br />

begin to unfold.

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